Take your career to the next level with Amaris Consulting as a Knowledge Graph Engineer.
Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow up on projects.
Join Amaris Consulting, where you can develop your potential and make a difference within the company.
WHAT WOULD YOU NEED?
✍️
- 7–10 years of experience in health informatics, bioinformatics, or clinical data domains
- Advanced proficiency in graph-based data modeling , knowledge graph construction, and semantic integration
- Deep knowledge of RDF, OWL, SPARQL , and graph databases (Neo4j, Amazon Neptune)
- Experience with NLP techniques, including working with unstructured biomedical text
- Proficiency in CI/CD environments (Jenkins, GitLab, Azure DevOps) and containerization tools (Docker, Singularity)
- Hands-on experience with ontology curation and terminology services (e.g., SNOMED, ICD-10, drug databases)
- Programming background in Python and exposure to LLM/NLP integration
- Fluent in English and Spanish
WHAT WILL YOU DO?
- Design and implement scalable biomedical knowledge graphs that connect data across the pharmaceutical R&D lifecycle
- Model, ingest, and normalize data into semantic graph structures to ensure long-term maintainability
- Build SPARQL/GraphQL/REST services to make graph data accessible to downstream applications
- Collaborate with NLP and AI teams to enable reasoning, RAG, and predictive features over knowledge graphs
- Extend biomedical ontologies and maintain synonyms, mappings, and provenance tracking
- Work with DevOps teams to deploy and monitor the graph infrastructure with high availability and scalability
- Document data models, lineage, and flow to ensure transparency and reuse across teams